Measuring Inequality of Opportunity With Imperfect Data [electronic resource] : The Case of Turkey / Aran, Meltem

By: Aran, MeltemContributor(s): Aran, Meltem | Ferreira, Francisco H. G | Gignoux, JeremieMaterial type: TextTextPublication details: Washington, D.C., The World Bank, 2010Description: 1 online resource (42 p.)Subject(s): Consumption | Consumption expenditures | Data set | Data sets | Decreasing function | Economic efficiency | Economic growth | Economic Theory & Research | Empirical analysis | Empirical studies | Equity and Development | Gini coefficient | Health, Nutrition and Population | Household income | Income | Income differentials | Income inequality | Inequality | Inequality index | Macroeconomics and Economic Growth | Measuring inequality | Per capita consumption | Policy research | Population Policies | Poverty Reduction | Product | Rural Poverty Reduction | Social policyAdditional physical formats: Aran, Meltem.: Measuring Inequality of Opportunity With Imperfect Data.Online resources: Click here to access online Abstract: The measurement of inequality of opportunity has hitherto not been attempted in a number of countries because of data limitations. This paper proposes two alternative approaches to circumventing the missing data problems in countries where a demographic and health survey and an ancillary household expenditure survey are available. One method relies only on the demographic and health survey, and constructs a wealth index as a measure of economic advantage. The alternative method imputes consumption from the ancillary survey into the demographic and health survey. In both cases, the between-type share of overall inequality is computed as a lower bound estimator of inequality of opportunity. Parametric and non-parametric estimates are calculated for both methods, and the parametric approach is shown to yield preferable lower-bound measures. In an application to the sample of ever-married women aged 30-49 in Turkey, inequality of opportunity accounts for at least 26 percent (31 percent) of overall inequality in imputed consumption (the wealth index).
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The measurement of inequality of opportunity has hitherto not been attempted in a number of countries because of data limitations. This paper proposes two alternative approaches to circumventing the missing data problems in countries where a demographic and health survey and an ancillary household expenditure survey are available. One method relies only on the demographic and health survey, and constructs a wealth index as a measure of economic advantage. The alternative method imputes consumption from the ancillary survey into the demographic and health survey. In both cases, the between-type share of overall inequality is computed as a lower bound estimator of inequality of opportunity. Parametric and non-parametric estimates are calculated for both methods, and the parametric approach is shown to yield preferable lower-bound measures. In an application to the sample of ever-married women aged 30-49 in Turkey, inequality of opportunity accounts for at least 26 percent (31 percent) of overall inequality in imputed consumption (the wealth index).

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